{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from dynamic_panel_dgp import DynamicPanelDGP\n",
    "import matplotlib.pyplot as plt\n",
    "import scipy \n",
    "from coverage_panel_hetero import add_vlines"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import joblib\n",
    "import os\n",
    "n_exps = 10\n",
    "dirname = os.path.join('results', 'hetero')\n",
    "param_str = (\"n_exps_{}_n_units_500_n_periods_3_n_t_2_n_x_450_s_x_2\"\n",
    "             \"_s_t_2_sigma_x_1_sigma_t_1_sigma_y_1_conf_str_1_gamma_0.2_het_str_1\").format(n_exps)\n",
    "results = joblib.load(os.path.join(dirname, \"hetero_results_{}.jbl\".format(param_str)))\n",
    "dgp = joblib.load(os.path.join(dirname, \"hetero_dgp_obj_{}.jbl\".format(param_str)))\n",
    "hetero_inds = joblib.load(os.path.join(dirname, \"hetero_hetero_inds_{}.jbl\".format(param_str)))\n",
    "test_policies = joblib.load(os.path.join(dirname, \"hetero_test_policies_{}.jbl\".format(param_str)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "n_periods = dgp.n_periods\n",
    "n_treatments = dgp.n_treatments\n",
    "true_hetero_inds = dgp.hetero_inds\n",
    "n_x = dgp.n_x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "param_results = np.array([r[0] for r in results])\n",
    "points = param_results[:, 0]\n",
    "lowers = param_results[:, 1]\n",
    "uppers = param_results[:, 2]\n",
    "stderrs = param_results[:, 3]\n",
    "policy_results = np.array([r[1] for r in results])\n",
    "policy_effect_hat = policy_results[:, 0]\n",
    "policy_effect_lowers = policy_results[:, 1]\n",
    "policy_effect_uppers = policy_results[:, 2]\n",
    "policy_effect_stderrs = policy_results[:, 3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "true_effect_inds = []\n",
    "for t in range(n_treatments):\n",
    "    true_effect_inds += [t * (1 + n_x)] + \\\n",
    "        list(t * (1 + n_x) + 1 + hetero_inds)\n",
    "true_effect_params = dgp.true_hetero_effect[:, true_effect_inds].flatten()\n",
    "\n",
    "true_policy_effect = np.array([dgp.static_policy_effect(\n",
    "    tau, mc_samples=1000) for tau in test_policies])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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aErfvuQztVomIiIiIiGh2cQlJwSRlUASnzsKREivNHWBlCcGp4/2npcUMjLnKnfhY3L4Z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\nAAAAAACkHgUMAAAAAACQehQwAAAAAABA6lHAGCEz+4KZ7TWzx4bYxtf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      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 5))\n",
    "inds = np.arange(points.shape[1])\n",
    "plt.violinplot(points, positions=inds, showmeans=True)\n",
    "plt.scatter(inds, true_effect_params, marker='o',\n",
    "            color='#D43F3A', s=10, zorder=3, alpha=.5)\n",
    "add_vlines(n_periods, n_treatments, hetero_inds)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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IMQ7gvwL4oJRytbb4TwF8svZcnwTwWQDv27QhKb8A4AsAcM0114ST95tg3arc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\nu5IVIVbuC1Sr7Z8+r/kVJxqRbFonP7tbQ68kgIESSvR1ZqYLt/Yt3Q3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      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 5))\n",
    "inds = np.arange(points.shape[1])\n",
    "plt.violinplot(stderrs, positions=inds, showmeans=True)\n",
    "true_std = np.std(points, axis=0)\n",
    "true_std_error = (true_std * (np.sqrt((n_exps-1)/scipy.stats.chi2.ppf((1-.05/2), n_exps-1)) - 1),\n",
    "                  true_std * (1 - np.sqrt((n_exps-1)/scipy.stats.chi2.ppf((.05/2), n_exps-1))))\n",
    "plt.errorbar(inds, true_std, yerr=true_std_error, fmt='o',\n",
    "            color='#D43F3A', elinewidth=2, alpha=.9, capthick=.5, uplims=True, lolims=True)\n",
    "add_vlines(n_periods, n_treatments, hetero_inds)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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L1tr/q6qfT/KLSa5N8p1ZnSL07CSHslqspzz8uKquyarTef/Gf+6h7Z6/tfb1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\nAAAAYHgaGAAAAMDw/j9leUitayMb9QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "coverage = np.mean((true_effect_params.reshape(1, -1) <= uppers) & (\n",
    "    true_effect_params.reshape(1, -1) >= lowers), axis=0)\n",
    "plt.figure(figsize=(15, 5))\n",
    "inds = np.arange(points.shape[1])\n",
    "plt.scatter(inds, coverage)\n",
    "add_vlines(n_periods, n_treatments, hetero_inds)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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bl/SPJH3Bg/EAAAAAADt4kdjZHs+5XY8/J+kzzrlCyc7MHjaz82Z2fnFx0YPw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\nBwAAAAAN7v8HhWw60WwXfY8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 5))\n",
    "inds = np.arange(policy_effect_hat.shape[1])\n",
    "plt.violinplot(policy_effect_hat, positions=inds, showmeans=True)\n",
    "plt.scatter(inds, true_policy_effect, marker='o',\n",
    "            color='#D43F3A', s=10, zorder=3, alpha=.5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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bRkIhpTIe74F4Q3dbvRKpjA6PTAcaR2NdWG/b0K5QmY0YAqhNJHQFZmba2tOi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\nYII=\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 5))\n",
    "inds = np.arange(policy_effect_hat.shape[1])\n",
    "plt.violinplot(policy_effect_stderrs, positions=inds, showmeans=True)\n",
    "true_std = np.std(policy_effect_hat, axis=0)\n",
    "true_std_error = (true_std * (np.sqrt((n_exps - 1) / scipy.stats.chi2.ppf((1 - .05 / 2), n_exps - 1)) - 1),\n",
    "                  true_std * (1 - np.sqrt((n_exps - 1) / scipy.stats.chi2.ppf((.05 / 2), n_exps - 1))))\n",
    "plt.errorbar(inds, true_std, yerr=true_std_error, fmt='o',\n",
    "             color='#D43F3A', elinewidth=2, alpha=.9, capthick=.5, uplims=True, lolims=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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sh+v23b/m1/8nyUUb3O5vsvF78AAAAPiYpvrB4gAAACweQQcAADAoQQcAADAoQQcAADAo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\nAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "policy_coverage = np.mean((true_policy_effect.reshape(1, -1) <= policy_effect_uppers) & (\n",
    "    true_policy_effect.reshape(1, -1) >= policy_effect_lowers), axis=0)\n",
    "plt.figure(figsize=(15, 5))\n",
    "inds = np.arange(policy_coverage.shape[0])\n",
    "plt.scatter(inds, policy_coverage)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
